Academic impact on climate change and extreme weather events: a thematic-geographical analysis applying graph theory
Poccianti, Cosimo (A.A. 2022/2023) Academic impact on climate change and extreme weather events: a thematic-geographical analysis applying graph theory. Tesi di Laurea in Data visualization, Luiss Guido Carli, relatore Blerina Sinaimeri, pp. 84. [Master's Degree Thesis]
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Abstract/Index
State of the art. Does international research fulfill global demands and necessities? Bibliometric analysis and graph theory. Shifts in climate change statistics. Data collection and starting dataset definition. Target and tools. Dataset download and processing. Data exploration. Known dataset limitations and biases. NLP-feature extraction. Key-words extraction. Geographical information extraction. NLP results. Community detection. Building the network. Identifying communities. Visualising the network. Discussion. Open points.
References
Bibliografia: pp. 80-82.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91) |
| Chair: | Data visualization |
| Thesis Supervisor: | Sinaimeri, Blerina |
| Thesis Co-Supervisor: | Martino, Alessio |
| Academic Year: | 2022/2023 |
| Session: | Extraordinary |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 11 Jul 2024 10:43 |
| Last Modified: | 11 Jul 2024 10:43 |
| URI: | https://tesi.luiss.it/id/eprint/39308 |
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